The AI Revolution: From Linear Regression to ChatGPT and beyond and How It All Connects to Finance
综述了机器学习从线性回归到ChatGPT再到完全无监督学习的演变，用美国股市的简单直观例子说明AI相比传统方法的优势，并展示AI推断与经典金融模型（如资本资产定价模型）的一致性。
This article surveys the evolution of machine learning from linear regression through ChatGPT to fully unsupervised learning. We illustrate the advantages of artificial intelligence (AI) over traditional methods with simple intuitive examples for the US equities markets. We also show that the AI inferences are consistent with classical finance models, such as the capital asset pricing model. We also describe how, unlike machine learning, true AI unsupervised models satisfy the optimal modeling characteristics. Most importantly, we show step by step how AI identifies and extracts signals from data.